Since 2008, we have carried out some research on texture-based methods for analyzing microscopic and x-ray images, and for classifying HEp-2 cell images.
In CMVS, we have been also investigating computer vision based methods for analyzing living cells from microscopic images and videos since 2011. During this time we have had several joint projects, and one of those, Algorithm-based Combination and Analysis of Multidimensional Video and Open Data (ABCdata, 2012-2015), was a strategic opening project funded by the Finnish Funding Agency for Innovation (Tekes). We develop computer vision based methods for analyzing living cells from microscopic images and videos, and offer solutions that can,
- detect and segment individual objects or particles,
- model their shapes and morphology,
- track their movement across the image sequences, and
- detect events or anomalies based on the features computed from the data.
- Cell Tracking
- Cell Detection
- Cell Segmentation
- Joint Cell Segmentation and Tracking
- Texture-based methods in biomedical image analysis
- HEp-2 Cell Classification
Last updated: 31.10.2017